scholarly journals Economic Inequalities And The Level of Decentralization In European Countries: Cluster Analysis

2016 ◽  
Vol 19 (4) ◽  
pp. 27-46 ◽  
Author(s):  
Šárka Labutková ◽  
Pavla Bednářová ◽  
Vladimíra Hovorková Valentová

This submitted article identifies relations between the degree of decentralization and economic imbalances on the basis of a cluster (exploratory) analysis. Two indicators have been chosen for measuring economic inequalities: an indicator of dispersion of regional GDP per capita as representative of the performance imbalances within countries (it measures the economic development gap among regions in European countries); and a multidimensional inequality-adjusted human development index as representative of inequalities in the distribution of wealth in the countries. Decentralization is measured by means of a decentralization index, which contains both quantitative and qualitative components. Although groups of countries characterised by a high degree of decentralization do not necessarily show the lowest degrees of economic imbalances, it is however possible to conclude that the countries in groups with a higher degree of decentralization are among those countries with more favourable values of the economic imbalances indicators monitored. As a part of the research, two clusters of countries were identified which are identical in their degree of decentralization, but differ in the results connected with economic imbalances. The differences are caused by different institutional qualities in the two groups.

2018 ◽  
Vol 2 (1) ◽  
pp. 165
Author(s):  
Yunie Rahayu

Poverty is a problem faced by all countries in the world, especially the developing countries, such as Indonesia. Poverty is a complex issue that is affected by a variety of interrelated factors, such as people's income levels, unemployment, health, education, access to goods and services, geographic location, gender, and location the environment. The number of poor population in Central Java is relatively lebihtinggi compared to laindi province of Indonesia, that is occupying ranked second in the number of poor population the largest in Indonesia after East Java. This research aims to analyze how and how much the variable influences the human development index, GDP per capita, and the number of poor population against unemployment in Jambi province in the year 2016. Methods of analysis in this study using multiple linear regression analysis with the method of Ordinary Least Square (OLS) that use data between spaces (cross section) district/town in Jambi province year 2016 with the help of software Eviews 4.1. The results of this research indicate that the variable is the human development index (HDI) a negative and significant effect against the poor population in the province of Jambi, the per capita GDP is negative and significant effect against the number of poor population in The province of Jambi, the unemployment and the number of positive and significant effect against the poor population in the province of Jambi.Keywords: population of the poor, the human development index (HDI), GDP per capita, and the number of Unemployed


2019 ◽  
Vol 66 (4) ◽  
pp. 385-410 ◽  
Author(s):  
Vittorio Daniele ◽  
Paolo Malanima

This article is aimed at analysing the trends of economic, social and institutional inequality among the Mediterranean countries in the period 1950- 2015. After the examination of the inequalities in GDP per capita among and within nations, we present a Human Development Index (HDI) that includes a measure of democratic achievements. Main result is that inequalities in income, after the rise from the 1950s onwards, declined from the start of the twenty-first century. Inequalities in HDI, instead, constantly diminished in the period under examination, while a process of democratization occurred. On the whole, despite the convergence among Mediterranean countries, economic inequalities are much deeper than those in social indicators.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Faris Alshubiri

AbstractThis study aimed to analyse the stock market capitalisation and financial growth nexus of Western European countries from 1989 to 2018 in order to understand the interactive relationship between the stock market and the economy to identify the specific financial market channels through which economic growth is managed. The pooled least square findings identified positive significant relationships between stock market capitalisation, foreign direct investment and stocks traded and financial growth, while negative and significant relationships were found between GDP per capita growth and inflation and financial growth. The fixed effect, random effect and pooled mean group models yielded the same results, indicating positive significant relationships between stock market capitalisation and stocks traded and financial growth, while the effect of foreign direct investment on financial growth was positive and insignificant. Finally, there were negative and significant relationships between GDP per capita growth and inflation and financial growth. The results from the quantile regression (tau = 0.10, 0.20, 0.30, 0.40 and 0.50) there were positive relationships between stock market capitalisation and stocks traded and financial growth for all percentiles, while there were negative relationships between GDP per capita growth and inflation and financial growth except at the 0.30 percentile; foreign direct investment also had a negative relationship to financial growth at the 0.30 percentile. Most variables were significant at a 1% significance level. However, inflation was insignificant at the 0.10 percentile, foreign direct investment was insignificant at the 0.20, 0.30, 0.40 and 0.50 percentiles, and stocks traded were insignificant at the 0.40 and 0.50 percentiles. All of the applied the diagnostic tests confirmed the robustness of the data. The main conclusion is that countries should minimise any regulatory obstacles to financial markets and protect the rights of shareholders. Furthermore, advanced financial systems should reduce the obstacles faced by companies in terms of external financing.


2018 ◽  
Vol 10 (12) ◽  
pp. 4574
Author(s):  
Anatolijs Prohorovs ◽  
Marina Solesvik

In this paper, we consider the changes that occurred in the service exports of thirty-eight European countries in the period of 2005–2016. We have found that the existing world trend related to the growth of service exports is also present in Europe. However, the trend of the service exports’ share growth in the general volume of export is not common for all European countries. We found that higher growth rates are observed in European countries with lower levels of GDP per capita. We also discovered the presence of a strong positive correlation between growth in service exports and GDP growth, as well as between growth in service exports and GDP per capita. We also found that there is a linear correlation between the growth of service exports and the growth of GDP per capita, as well as between the growth in service exports and GDP growth. The data obtained allowed us to conclude that European countries, categorized as “Innovation Leaders” in accordance with the European Innovation Scoreboard, are not the leading countries in Europe with regard to the rates of service export growth. We also discovered that service exports in Europe are less sensitive to adverse macroeconomic effects than goods exports.


Author(s):  
I. Grishin

This publication presents regular materials of the scientific workshop "Modern Development Problems", hosted by Dr. V. Khoros, head of Center for Development and Modernization Studies at the Institute of World Economy and International Relations, Russian Academy of Sciences. A spokesperson is V.A. Krasil'shchikov, Dr. Sci. (Economics), Head of Section at IMEMO. Human Development Index calculated by the UN since 1980s on the basis of GDP per capita, lifespan and education of population is chosen as a primary criterion.


Author(s):  
I. Grishin

This publication presents regular materials of the scientific workshop "Modern Development Problems", hosted by Dr. V. Khoros, head of Center for Development and Modernization Studies at the Institute of World Economy and International Relations, Russian Academy of Sciences. A spokesperson is V.A. Krasil'shchikov, Dr. Sci. (Economics), Head of Section at IMEMO. Human Development Index calculated by the UN since 1980s on the basis of GDP per capita, lifespan and education of population is chosen as a primary criterion.


2003 ◽  
Vol 23 (12) ◽  
pp. 64-80 ◽  
Author(s):  
Ruth Landau

Israel is 280 miles long and 10 miles wide at its narrowest point; it is comparable in size to the State of New Jersey. The total population of Israel is currently about 6.5 million, of the same order as the populations of Austria, Switzerland or Denmark. Eighty per cent of the population are Jews, 15 per cent Muslim, 3 per cent Christians and 2 per cent Druze (Yaffe, 1999). Israel is a highly urban and industrialized country, with over 95 per cent of the population living in cities or towns. Israel’s Gross Domestic Product (GDP) per capita is approximately US $17,500. This, despite its geographical location in the Middle East, makes Israel’s economic level equal to that of England, placing Israel among the developed European countries.


Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 775
Author(s):  
Philippe Colson ◽  
Didier Raoult

It has now been over a year since SARS-CoV-2 first emerged in China, in December 2019, and it has spread rapidly around the world. Some variants are currently considered of great concern. We aimed to analyze the numbers of SARS-CoV-2 genome sequences obtained in different countries worldwide until January 2021. On 28 January 2021, we downloaded the deposited genome sequence origin from the GISAID database, and from the “Our world in data” website we downloaded numbers of SARS-CoV-2-diagnosed cases, numbers of SARS-CoV-2-associated deaths, population size, life expectancy, gross domestic product (GDP) per capita, and human development index per country. Files were merged and data were analyzed using Microsoft Excel software. A total of 450,968 SARS-CoV-2 genomes originating from 135 countries on the 5 continents were available. When considering the 19 countries for which the number of genomes per 100 deaths was >100, six were in Europe, while eight were in Asia, three were in Oceania and two were in Africa. Six (30%) of these countries are beyond rank 75, regarding the human development index and four (20%) are beyond rank 80 regarding GDP per capita. Moreover, the comparisons of the number of genomes sequenced per 100 deaths to the human development index by country show that some Western European countries have released similar or lower numbers of genomes than many African or Asian countries with a lower human development index. Previous data highlight great discrepancies between the numbers of available SARS-CoV-2 genomes per 100 cases and deaths and the ranking of countries regarding wealth and development.


2018 ◽  
Vol 14 (3) ◽  
pp. 191-198
Author(s):  
Nahid Kalbasi Anaraki

This paper investigated the immigration flow among periphery and core European countries to find out what are the most important factors shaping immigration trends. Using quarterly data for the period of 1990-2016 for immigration from Greece, Italy, Portugal, and Spain to core European countries including: Germany, Netherlands, and Sweden, the results of this study suggest that pull economic factors such as GDP per capita and unemployment rate in the destination countries are the more important factors shaping the immigration trend than the push factors including labor reforms. The higher the unemployment rate in the destination the less migrants flow to these countries. The results indicate that the labor reforms in the origin country don’t have statistically significant impacts on the immigration trends.


2020 ◽  
Author(s):  
Farida Rahmawati ◽  
Meirna Nur Intan

Government spending is expected to improve the Human Development Index (HDI) in order to increase public welfare. Theoretically, if the number of government expenditure is increasing then the Human Development Index (HDI) will be higher as well. Based on earlier research, it was found few differences about the result of influence Government spending to Human Index. The purpose of the study was to analyze the influence of government spending and Gross Domestic Product to the Human Development Index of East Java Province (during 2014-2017). The research method using descriptive quantitative approach. Local government expenditures were analyzed by direct local government spending by looking at three aspects namely employees expenditure, spending on goods and services, and capital expenditures. Whereas, for the GDP per capita income is analyzed based on three aspects: production, income, and expenditure. Then the human development index to see the effects of these two variables based on three dimensions that exist in the human development index healthiness dimensions, dimensions of knowledge, and economic dimensions. The results showed that the local government spending income and the GDP per capita income has a significant effect on the human development index. Government spending has a significant influence on the educational dimension, while GDP per capita has a significant effect on the purchasing power of people thus affecting the economic dimension. Keywords: Government spending, Gross Domestic Product, Human Development Index


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